Security Scan Report: near-silver-bci7cw652s-wbcq8ny6t1.edgeone.app

Submitted: Mar 14, 2026, 7:05:04 PMCompleted: Mar 14, 2026, 7:06:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is near-silver-bci7cw652s-wbcq8ny6t1.edgeone.app and was registered NaN years ago.

Submitted URL: https://near-silver-bci7cw652s-wbcq8ny6t1.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site offering an iOS panel; no malicious indicators detected.

Risk Factors
Newly registered subdomain on a free hosting platform with low reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware or suspicious network activity
No external domains or redirects
Domain age information unavailable

Details

Page Title

ABC iOS Free Panel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Within the application-focused generic top-level domain (.app), 'near-silver-bci7cw652s-wbcq8ny6t1.edgeone.app' is registered with subdomain 'near-silver-bci7cw652s-wbcq8ny6t1'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://near-silver-bci7cw652s-wbcq8ny6t1.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:257 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
entertainment media
67%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10ED1421AA9F30852A953E4A51FF657593B518017954FCA283FDC32A48FC19C4ACFB788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:7PY/l95qlupmG2eSfrTR5RxyFJtL8kHk9OnTkAZ8j:p8Q7DP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6474:wEBERCAgQpBEEABARKAEVgMAARBgAA0AgoBETkQAIBAkQFUwyFhAAAZwKAuSCOkuszBLQ6IH0ADAgIBEQIQAiCYYgIpAACwH

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:18183c1818181800
Perceptual Hash:ccc63399263699cb
Difference Hash:30706020b2b27020
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#e0736c

Other Hashes

Crop Resistant:30706020b2b27020

Scan History

Scan history not available

Unable to load historical scan data